GGCP10 Dataset README

Description
This dataset contains global gridded crop production data from 2010-2020 at 10km resolution (GGCP10). It covers production quantities for four major crops - maize, wheat, rice, and soybean.

The GGCP10 dataset was constructed using a data-driven model based on agro-ecological zones and multi-source data including weather, satellite, soil, and agricultural statistics. It aims to provide detailed spatial information on crop production globally.

Contents
Gridded production quantity data for each crop-year in kilotons.
Tiff files organized by crop type and year (e.g. GGCP10_Production_maize_2010.tif)
Grid cell coordinates in EPSG 4326 (latitude/longitude)
Applications
The GGCP10 dataset can support research and applications on:

Global food security and sustainability
Impacts of climate change on crop yields
Agricultural production trends and anomalies
Yield gap analysis and forecasting
Agricultural zoning and resource optimization
Agro-economic modeling


Contact
Xingli Qin
qinxl@aircas.ac.cn


Disclaimer
The GGCP10 dataset is provided for academic research purposes only. 
While efforts were made to validate the data, the creators make no warranties regarding the completeness, accuracy, or suitability of the dataset for any particular application. Data users should be aware of the following caveats:

Country borders shown on any maps do not represent or imply any political endorsement or stance. All borders are approximate and for data visualization only.
Due to input data uncertainties, crop production quantities may not perfectly match administrative statistics, especially at subnational scales. Appropriate confidence levels should be considered when using and interpreting the data.
Production data reflect modeled estimates using the methodology detailed in associated publications. Actual productuon may differ due to local factors.
The dataset covers only four major commodity crops. It does not represent total agricultural production.

The GGCP10 dataset creators and providers bear no liability for any analysis or decisions made using this data. 
We advise users to exercise proper scientific rigor in utilizing, interpreting, and drawing conclusions from the data. 
Please contact the creators for any clarifications on appropriate data usage.